# Patent

## Title
Personalized browsing activity displays

## Abstract

A system records browsing activity of a user using a browser. The system determines browsing statistics from the recorded browsing activity and graphically displays the browsing statistics to the user via the browser.

## Background
RELATED APPLICATION
This application is a continuation of U.S. patent application Ser. No. 11/536,779, filed Sep. 29, 2006, now U.S. Pat. No. 8,548,991, the contents of which are incorporated herein by reference.


BACKGROUND
1. Field of the Invention
Implementations described herein relate generally to document browsing and, more particularly, to accumulating and displaying document browsing activity to users via personalized displays.
2. Description of Related Art
The World Wide Web (“web”) contains a vast amount of information. Locating a desired portion of the information, however, can be challenging. This problem is compounded because the amount of information on the web and the number of new users inexperienced at web searching are growing rapidly.
Search engines attempt to return hyperlinks to web pages in which a user is interested. Generally, search engines base their determination of the user's interest on search terms (called a search query) entered by the user. The goal of the search engine is to provide links to high quality, relevant results (e.g., web pages) to the user based on the search query. Typically, the search engine accomplishes this by matching the terms in the search query to a corpus of pre-stored web pages. Web pages that contain the user's search terms are “hits” and are returned to the user as links. Each “hit” may be ranked by the search engine based on various factors, such as, for example, the relevance of the “hit” to the search query.
“Bookmarks” or “favorites” are typical ways for a browser executed at a client to remember documents (e.g., web pages) that a user has visited when browsing documents located on a network, such as, for example, the Internet. For example, a bookmark or a favorite may be used by a user to remember a search result obtained from the execution of a search by a search engine. Bookmarks or favorites permit the user to return to the bookmarked document easily.
SUMMARY
According to one aspect, a method may include recording sites or documents browsed by a user using a browser and analyzing the recorded sites or documents to produce user browsing statistics. The method may further include providing a document to the user via the browser that displays the user browsing statistics.
According to another aspect, a method may include recording browsing activity associated with a user and producing user browsing statistics based on the recorded browsing activity. The method may further include adjusting a ranking of search results provided to the user based on the user browsing statistics.
According to a further aspect, a method may include recording browsing activity of a user using a browser and determining browsing statistics from the recorded browsing activity. The method may further include graphically displaying the browsing statistics to the user via the browser.



BRIEF DESCRIPTION OF THE DRAWINGS
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate one or more embodiments of the invention and, together with the description, explain aspects of the invention. In the drawings,
FIG. 1 is an exemplary diagram of an overview of an implementation described herein;
FIG. 2 is an exemplary diagram of a network in which systems and methods described herein may be implemented;
FIG. 3 is an exemplary diagram of a client or server of FIG. 2;
FIG. 4 is a diagram of an exemplary toolbar that includes bookmarks that may be stored at a remote server;
FIG. 5 is a diagram that depicts an exemplary bookmark management window on the toolbar of FIG. 4;
FIG. 6 is a diagram depicting user selection of specific browsing statistics to be provided to the user;
FIG. 7 is a diagram of exemplary bookmark records associated with a server of FIG. 2;
FIG. 8 is a flowchart of an exemplary process for providing user browsing statistics to a user;
FIG. 9 illustrates the selection of a bookmark via the toolbar of FIG. 4;
FIG. 10 illustrates user selection of a specific search result from a set of search results resulting from an executed search;
FIG. 11 illustrates a personalized display of a user's “most frequently visited URLs”;
FIG. 12 illustrates the personalized display of the URLs visited by a user within the last month; and
FIG. 13 illustrates the personalized display of sites with the most bookmarks browsed by a user.



DETAILED DESCRIPTION
The following detailed description of the invention refers to the accompanying drawings. The same reference numbers in different drawings may identify the same or similar elements. Also, the following detailed description does not limit the invention.
As described herein, a user's browsing activity may be tracked and a personalized display of the user's browsing activity may be provided to that user via a window, such as a pop-up window, provided by a toolbar associated with the user's browser. The personalized display of the user's browsing activity may graphically depict browsing activity by, for example, how frequently documents (e.g., URLs) or sites have been browsed by the user, which documents or sites have been browsed recently by the user, how frequently URLs or sites that correspond to the user's bookmarks or favorites have been browsed by the user, etc. In some implementations, the browsing activity may be analyzed to determine browsing statistics. The browsing statistics may be used in adjusting the ranking of search results provided to the user associated with the browsing statistics.
A “document,” as the term is used herein, is to be broadly interpreted to include any machine-readable and machine-storable work product. A document may include, for example, an e-mail, a website, a business listing, a file, a combination of files, one or more files with embedded links to other files, a news group posting, a blog, a web advertisement, a digital map, etc. In the context of the Internet, a common document is a web page. Documents often include textual information and may include embedded information (such as meta information, images, hyperlinks, etc.) and/or embedded instructions (such as Javascript, etc.). A “link,” as the term is used herein, is to be broadly interpreted to include any reference to/from a document from/to another document or another part of the same document. A “site” as the term is used herein is to be broadly interpreted to include a group of documents hosted by any type of entity. A “site” may include a group of documents under common control, such as a group of documents associated with an organization, a domain name, a host name, or a set of documents created by the same person or group of persons. A “site” may also include a group of documents about a particular topic, a group of documents in a particular language, a group of documents hosted in a particular country, or a group of documents written in a particular writing style.
Overview
FIG. 1 illustrates an exemplary overview that tracks a user's browsing activity to determine the user's browsing statistics. The user's determined browsing statistics may be supplied to the user, or may be used in adjusting the ranking of search results provided to the user as the result of a document search. As shown in FIG. 1, a user, using a browser at a client (not shown), may browse multiple different documents 100. Such browsing may include, for example, selecting a document from a set of documents provided to the user as the result of a search executed by a search engine, user selection of a document from a set of bookmarked or “favorite” documents stored in the user's browser, or user entry of an address (e.g., a uniform resource locator (URL)) into the browser enabling the browser to access and load the document corresponding to the entered address.
The documents 100 browsed by the user may then be recorded as user browsing activity 110. The user browsing activity 110 may be analyzed to produce user browsing statistics 120. User browsing statistics 120 may be provided to the user via a “zeitgeist” that may include, for example, a window displayed in the user's browser (e.g., a pop-up window). The zeitgeist may be displayed automatically, at times selected by the user, or when the user performs a specific action. User browsing statistics 120 may include, for example, URLs/sites visited most frequently by the user, URLs/sites visited most frequently by the user that are included in the user's bookmarks, or URLs/sites visited recently by the user. User browsing statistics 120 may include statistics presented by day of week, by work day vs. non-work day, by month, by hours of the day, by cookie or user agent, or as a comparison to that of the average user.
Exemplary Network Configuration
FIG. 2 is an exemplary diagram of a network 200 in which systems and methods described herein may be implemented. Network 200 may include multiple clients 205 connected to one or more servers 210 or 220 via a network 250. Two clients 205 and two servers 210 and 220 have been illustrated as connected to network 250 for simplicity. In practice, there may be more or fewer clients and servers. Also, in some instances, a client may perform one or more functions of a server and a server may perform one or more functions of a client.
Clients 205 may include client entities. An entity may be defined as a device, such as a personal computer, a wireless telephone, a personal digital assistant (PDA), a lap top, or another type of computation or communication device, a thread or process running on one of these devices, and/or an object executable by one of these devices. Clients 205 may implement a browser for browsing documents stored at servers 210 or 220. The browser may include a toolbar that includes bookmark functionality, as further described in detail below
Server 220 may include a server entity that accesses, fetches, aggregates, processes, searches, and/or maintains documents. In accordance with one implementation, server 220 may include a search engine 225 usable by users at clients 205. Server 220 may implement a data aggregation service by crawling a corpus of documents (e.g., web pages) hosted on data server(s) 210, indexing the documents, and storing information associated with these documents in a repository of crawled documents. The aggregation service may be implemented in other ways, such as by agreement with the operator(s) of data server(s) 210 to distribute their documents via the data aggregation service. Search engine 225 may execute a search using a query, received from a user at a client 205, on the corpus of documents stored in the repository of crawled documents. Server 220 may provide, to a user issuing a query, a ranked list of documents related to the issued query. Server 220 may also store bookmarks, received from respective users at clients 205, in bookmarks records 230. The stored bookmarks may subsequently be retrieved by respective users at clients 205 via server 220. The storage of bookmarks at server 220, and subsequent retrieval, is described in co-pending U.S. application Ser. No. 11/327,644, the disclosure of which is incorporated by reference herein. Server 220 may also store user browsing statistics, obtained from user browsing activity at clients 205, in user browsing statistics 240.
Data server(s) 210 may store or maintain documents that may be crawled by server 220. Such documents may include data related to published news stories, products, images, user groups, geographic areas, or any other type of data. For example, server(s) 210 may store or maintain news stories from any type of news source, such as, for example, the Washington Post, the New York Times, Time magazine, or Newsweek. As another example, server(s) 210 may store or maintain data related to specific products, such as product data provided by one or more product manufacturers. As yet another example, server(s) 210 may store or maintain data related to other types of web documents, such as pages of web sites.
While servers 210 and 220 are shown as separate entities, it may be possible for one of servers 210 or 220 to perform one or more of the functions of the other one of servers 210 or 220. For example, it may be possible that servers 210 and 220 are implemented as a single server. It may also be possible for a single one of servers 210 and 220 to be implemented as two or more separate (and possibly distributed) devices.
Network 250 may include one or more networks of any type, including a local area network (LAN), a wide area network (WAN), a metropolitan area network (MAN), a telephone network, such as the Public Switched Telephone Network (PSTN) or a Public Land Mobile Network (PLMN), an intranet, the Internet, a memory device, or a combination of networks. The PLMN(s) may further include a packet-switched sub-network, such as, for example, General Packet Radio Service (GPRS), Cellular Digital Packet Data (CDPD), or Mobile IP sub-network. Clients 205 and servers 210 and 220 may connect to network 250 via wired, wireless, and/or optical connections.
Exemplary Client/Server Architecture
FIG. 3 is an exemplary diagram of a client or server entity (hereinafter called “client/server entity”) which may correspond to one or more of clients 205 and/or servers 210 or 220. The client/server entity may include a bus 310, a processor 320, a main memory 330, a read only memory (ROM) 340, a storage device 350, an input device 360, an output device 370, and a communication interface 380. Bus 310 may include a path that permits communication among the elements of the client/server entity.
Processor 320 may include a processor, microprocessor, or processing logic that may interpret and execute instructions. Main memory 330 may include a random access memory (RAM) or another type of dynamic storage device that may store information and instructions for execution by processor 320. ROM 340 may include a ROM device or another type of static storage device that may store static information and instructions for use by processor 320. Storage device 350 may include a magnetic and/or optical recording medium and its corresponding drive.
Input device 360 may include a mechanism that permits an operator to input information to the client/server entity, such as a keyboard, a mouse, a pen, voice recognition and/or biometric mechanisms, etc. Output device 370 may include a mechanism that outputs information to the operator, including a display, a printer, a speaker, etc. Communication interface 380 may include any transceiver-like mechanism that enables the client/server entity to communicate with other devices and/or systems. For example, communication interface 380 may include mechanisms for communicating with another device or system via a network, such as network 240.
The client/server entity may perform certain operations or processes, as will be described in detail below. The client/server entity may perform these operations in response to processor 320 executing software instructions contained in a computer-readable medium, such as memory 330. A computer-readable medium may be defined as a physical or logical memory device and/or carrier wave.
The software instructions may be read into memory 330 from another computer-readable medium, such as data storage device 350, or from another device via communication interface 380. The software instructions contained in memory 330 may cause processor 320 to perform operations or processes that will be described later. Alternatively, hardwired circuitry may be used in place of or in combination with software instructions to implement processes described herein. Thus, implementations described herein are not limited to any specific combination of hardware circuitry and software.
Exemplary Client Toolbar
FIG. 4 is a diagram that depicts an exemplary toolbar 405 that may be implemented in a browser at a client 205. Toolbar 405 may be a standard toolbar of the browser or an add-on toolbar associated with the browser. Among other features, toolbar 405 may include a “bookmark” button 410, the selection of which by a user at client 205 may produce a bookmark window 420. Bookmark window 420 may include a list of multiple bookmarks 430 associated with the user, and multiple bookmark actions 440 that may be selected by the user. As shown, bookmark actions 440 may include “bookmark this page . . . ” which adds a current document (e.g., a web page) browsed by a user to the list of bookmarks 430 and/or to the user's bookmark records stored in bookmark records 230 at server 220. Bookmark actions 440 may further include “import bookmarks,” the selection of which imports bookmarks stored in association with a browser at client 205 into the user's bookmark records stored in bookmark records 230 at server 220. Bookmark actions 440 may also include “manage bookmarks,” the selection of which permits the user to manage the user's server bookmarks in various ways. Bookmark actions 440 may further include “search bookmarks,” the selection of which permits the user to search through the user's bookmarks stored in bookmark records 230 at server 220 using a user specified search query. Bookmark actions 440 may also include “share bookmark,” the selection of which permits the user to share one or more of the user's bookmarks with other users via server 220. Bookmark actions 440 may further include “popular bookmarks,” the selection of which permits the user to access bookmarks identified by server 220 as being popular among multiple different users. Bookmark actions 440 are described more fully in co-pending U.S. application Ser. No. 11/327,644.
FIG. 5 is a diagram illustrating exemplary “manage bookmarks” actions 500, displayed in a window 510, which may be selected by a user from window 420 of toolbar 405 at client 205. The “manage bookmarks” actions 500 may include, for example, “add bookmark,” “edit bookmark,” “delete bookmark,” “remove label,” “rename label” and “refresh bookmarks” actions. A user at client 205 may select each of these bookmark management actions from window 510 (e.g., by clicking-on it using a mouse). Selection and use of bookmark actions from window 510 is described more fully in co-pending U.S. application Ser. No. 11/327,644
FIG. 6 is a diagram illustrating an exemplary “user browsing activity” selection window 610 that may be accessible to a user from toolbar 405. Window 610 may, for example, be accessed via user selection of “Browsing Stats” button 600 from toolbar 405. Window 610 may be used a user to select the content of the user browsing statistics that may be displayed to the user via a “zeitgeist” window.
Window 610 may display a number of various user browsing activity displaying options 620 that may be selected by a user. Browsing activity displaying options 620 may include, for example, “bookmarked URLs/sites visited most frequently,” “URLs visited most frequently,” “sites visited most frequently,” “sites with most bookmarks,” “URLs visited recently” or “sites visited recently” options. When any of the options displayed in window 610 are selected by a user (e.g., by clicking on the option with a mouse, or by “mouse over” of the option by the mouse), a “type of statistics” window 630 may be displayed to the user. Window 630 may include various display options 640 for selecting the type of statistic to be displayed to the user. For example, window 630 may include “by day of week,” “by work day,” “by non-work day,” “by month,” “by hours or day” or “compared with an average user” options. If, for example, the user selected the “by day of week” type of statistic from window 630, then the browsing statistics might include browsing activity displayed by each day of the week. For example, if the user selected “URLs visited most frequently” from window 620 and “by month” from window 630, then toolbar 405 might display the most frequently visited URLs as a function of month. Selection of the “by work day” option might display browsing activity as a function of work days (e.g., Monday through Friday). Selection of the “by non-work day” option might display browsing activity as a function of non-work days (e.g., Saturday and Sunday). Selection of the “by day of week” option might display browsing activity as a function of each day of the week. Selection of the “by hours of day” option might display browsing activity as a function of each hour of a day. Selection of the “compared with an average user” option might display a comparison of a user's browsing statistics with the browsing statistics associated with an average user (i.e., average browsing statistics determined across multiple users).
Exemplary Bookmark Records
FIG. 7 illustrates exemplary bookmark records 230. Bookmark records 230 may include bookmarks received by server 220 from one or more users, with each user being identified by a different, unique user identifier (ID) 710. User ID 710 may include, for example, an Internet Protocol (IP) address associated with a user, a user log-in identifier, or any other type of unique data for identifying the user. As shown in FIG. 7, each user ID 710 may have one or more record entries 720 associated with it. Each record entry 720 may include a bookmark name 730, a bookmark address 740, and one or more labels 750. Bookmark name 730 may include any name designated by the user for the particular bookmark. For example, if a user bookmarks the document www.google.com, the user may name the bookmark “Google.” Bookmark address 740 may include the address (e.g., URL) of the document bookmarked by the user. Labels 750 may include one or more different designated textual labels given by the user to the bookmark. When a client toolbar 405 requests a user's bookmarks from server 220, the user ID 710 associated with the user is used to retrieve associated record entries 720 from bookmark records 230. Server 220 may send the bookmark records associated with the user to the client that the user has logged in at such that the user may use the user's bookmarks at that particular client.
Exemplary Process for Providing Browsing Statistics to a User
FIG. 8 is a flowchart of an exemplary process for providing a user's browsing statistics to that user. The process exemplified by FIG. 8 may be performed by a toolbar 405 at a client 205.
The exemplary process may begin with the tracking and recording of a user's browsing activity over a period of time (block 800). Toolbar 405 may maintain a record of each document accessed by an associated user. The record may include an identifier of the document (e.g., a URL) or a site associated with the document, and a timestamp associated with a time at which the document is accessed. Toolbar 405, for example, may track each bookmarked document accessed by a user. For example, as shown in FIG. 9, a user may select a bookmark 900 from a list of bookmarks 430 displayed in bookmark window 420 of toolbar 405. Toolbar 405 may record each selection of a bookmark 900 from bookmark window 420. As another example, toolbar 405 may track each search result selected by a user from a set of search results. As shown in FIG. 10, a search result document 1000 may be provided to a user from search engine 235 based on a search executed using a search query provided by the user. Search result document 1000 may include a list of search results 1010 that are relevant to the search query and, possibly, a list of advertisements 1020 that are relevant to the search query. The user may select 1030 one of the search results from the list of search results 1010 to access it. Toolbar 405 may record each selected result from search results 1010.
The user's browsing activity may be analyzed to produce browsing statistics for that user (block 810). The user browsing activity analysis may determine which bookmarked URLs or sites have been visited the most frequently by the user, which URLs or sites have been visited the most frequently by the user, which sites have the most user bookmarks (e.g., across multiple different users including the current user), and/or which URLs or sites have been visited recently by the user. The user browsing statistics produced by the analysis may be based on user selection from “user browsing activity” selection window 600 accessible to the user via toolbar 405, as described above with respect to FIG. 6. Window 600 may display a number of various user browsing activity displaying options that may be selected by a user.
The browsing statistics may be provided to the user (block 820). The browsing statistics may be provided to the user via toolbar 405 in a window (e.g., a pop-up “zeitgeist”) that includes the browsing activity selected by the user, as described above with respect to FIG. 6. For example, as shown in FIG. 11, if the user has selected “URLs visited most frequently” from window 600, then toolbar 405 may display a window 1100 that provides a graphical representation 1110 of URLs (URL—1 through URL_x shown) visited the most frequently by the user. As further shown in the example of FIG. 12, if the user has selected “URLs visited recently” from window 600 and selected “by month” from window 620, then toolbar 405 may display a window 1200 that provides a graphical representation 1210 of URLs (URL—1 through URL_x shown) visited by the user during the last month. As additionally shown in the example of FIG. 13, if the user has selected “sites with most bookmarks” from window 600, then toolbar 405 may display a window 1300 that provides a graphical representation 1310 of sites which have the most bookmarks across multiple different users (i.e., including the current user).
The ranking of search results provided to the user may be adjusted based on the user's browsing statistics (optional block 830). Search results are typically ranked in a rank order using known techniques (e.g., based on relevance of, and/or links to or from, each of the search results). The user browsing statistics may be used to boost selected results among the search results or to adjust the ranking of the search results. For example, documents whose URLs are visited most frequently by a user may be boosted among a set of search results returned to that user as a result of an executed search. A user's browsing statistics may be provided from toolbar 405 to search engine 225 during a search and used by search engine 225 to adjust the ranking of search results returned to the user, or to adjust the ranking of search results returned to any other user. Alternatively, toolbar 405 may adjust the ranking and/or boosting or search results returned to the user at a client 205 from search engine 225.
CONCLUSION
The foregoing description of implementations consistent with principles of the invention provides illustration and description, but is not intended to be exhaustive or to limit the invention to the precise form disclosed. Modifications and variations are possible in light of the above teachings, or may be acquired from practice of the invention. For example, while series of acts have been described with regard to FIG. 8, the order of the acts may be modified in other implementations consistent with the principles of the invention. Further, non-dependent acts may be performed in parallel. Various types of browsing activity and browsing statistics have been described herein. Other types of browsing activity and browsing statistics would be apparent to those skilled in the art. The following are a few additional examples of browsing activity and/or browsing statistics: 1) browsing statistics may include trends not just for URLs or sites, but also for categories of interests (e.g., a user visits sites related to anti-depressant medication mainly on Monday mornings); 2) browsing statistics may include a frequency of visits to a URL or a site; 3) browsing statistics may include a comparison of browsing statistics associated with a user to other specified users (e.g., with these other users' permission) such as friends, contacts, colleagues or family members; 4) browsing statistics may include a comparison of browsing statistics for one category of interests or site to another category of interests or site; browsing statistics may include “top-N tables” that display the top N values for one or more various browsing statistics; 5) browsing statistics may be provided in various different chart forms (e.g., pie charts or graphs); 6) browsing statistics may include statistics regarding user queries associated with a user's browsing activity (e.g., average query length, average number result selections (e.g., clicks) per query, average number of queries per day, etc.); 7) browsing statistics may include statistics related to other browsing activity not described above, such as, for example, average document “stay time” (e.g., average time spent by a user viewing a document); and/or 8) browsing statistics may include a geographical plot of an estimated location of the sites that a user visits (e.g., based on IP addresses).
User browsing statistics 240 and bookmark records 230 are described herein as being stored in association with server 220. In some implementations, however, browsing statistics 240 and bookmark records 230 may be stored at a client 205.
It will be apparent to one of ordinary skill in the art that aspects of the invention, as described above, may be implemented in many different forms of software, firmware, and hardware in the implementations illustrated in the figures. The actual software code or specialized control hardware used to implement aspects consistent with the principles of the invention is not limiting of the invention. Thus, the operation and behavior of the aspects have been described without reference to the specific software code, it being understood that one of ordinary skill in the art would be able to design software and control hardware to implement the aspects based on the description herein.
No element, act, or instruction used in the present application should be construed as critical or essential to the invention unless explicitly described as such. Also, as used herein, the article “a” is intended to include one or more items. Where only one item is intended, the term “one” or similar language is used. Further, the phrase “based on” is intended to mean “based, at least in part, on” unless explicitly stated otherwise.

## Claims

1. A method comprising:
providing, by a processor and to a user, information associated with a plurality of browsing statistics associated with a first client device and information associated with a plurality of time periods,
the plurality of browsing statistics being different from browsing statistics associated with a second, different client device, and
the plurality of browsing statistics being determined based on information associated with documents accessed, during the plurality of time periods, by the user;

receiving, by the processor, information identifying a selection, by the user, of a particular browsing statistic, of the plurality of browsing statistics, and a particular time period, of the plurality of time periods;
modifying, by the processor and based on the particular browsing statistic and the particular time period, a ranking of search results to form modified search results,
the search results being associated with a search query received from the user, and
the ranking of the search results being based on the search query; and

providing, by the processor, the modified search results for display to the user.

2. The method of claim 1, where providing the information associated with the plurality of browsing statistics and the information associated with the plurality of time periods includes:
determining that the user has performed a particular action, and
providing the information associated with the plurality of browsing statistics and the information associated with the plurality of time periods based on the user having performed the particular action.

3. The method of claim 1, where providing the information associated with the plurality of browsing statistics and the information associated with the plurality of time periods includes:
providing information identifying one or more trends associated with the user accessing the documents during the plurality of time periods.

4. The method of claim 1, further comprising:
determining, based on the plurality of browsing statistics, a frequency at which one or more documents, of the documents accessed by the user, were accessed by the user during the plurality of time periods; and
where providing the information associated with the plurality of browsing statistics and the information associated with the plurality of time periods includes:
providing information identifying the frequency at which the one or more documents were accessed by the user during the plurality of time periods.

5. The method of claim 1, where the documents accessed, during the plurality of time periods, by the user include documents associated with one or more search queries provided by the user via the first client device; and
where the plurality of browsing statistics include statistics related to the one or more search queries.

6. The method of claim 1, where the plurality of browsing statistics include one or more of:
an amount of time the user viewed each document of the documents accessed, during the plurality of time periods, by the user,
a quantity of terms included in each of one or more search queries provided by the user, or
a quantity of the one or more search queries associated with each time period of the plurality of time periods.

7. The method of claim 1, where providing the information associated with the plurality of browsing statistics and the information associated with the plurality of time periods includes:
providing a graphical depiction of the plurality of browsing statistics and the information associated with the plurality of time periods.

8. A device comprising:
one or more processors to:
provide, to a user, information associated with a plurality of browsing statistics associated with a first client device and information associated with a plurality of time periods,
the plurality of browsing statistics being different from browsing statistics associated with a second, different client device, and
the plurality of browsing statistics being determined based on information associated with documents accessed, during the plurality of time periods, by the user;

receive information identifying a selection, by the user, of a particular browsing statistic, of the plurality of browsing statistics, and a particular time period, of the plurality of time periods;
modify, based on the particular browsing statistic and the particular time period, a ranking of search results to form modified search results,
the search results being associated with a search query received from the user, and
the ranking of the search results being based on the search query; and

provide the modified search results for display to the user.

9. The device of claim 8, where, when providing the information associated with the plurality of browsing statistics and the information associated with the plurality of time periods, the one or more processors are to:
determine that the user has performed a particular action, and
provide the information associated with the plurality of browsing statistics and the information associated with the plurality of time periods based on the user having performed the particular action.

10. The device of claim 8, where the one or more processors are further to:
determine, based on the plurality of browsing statistics, one or more trends associated with the user accessing the documents during the plurality of time periods; and
where, when providing the information associated with the plurality of browsing statistics and the information associated with the plurality of time periods, the one or more processors are to:
provide information identifying the one or more trends for display to the user.

11. The device of claim 8, where the one or more processors are to:
determine, based on the plurality of browsing statistics, a frequency at which one or more documents, of the documents accessed by the user, were accessed by the user during the plurality of time periods; and
where, when providing the information associated with the plurality of browsing statistics and the information associated with the plurality of time periods, the one or more processors are to:
provide information identifying the frequency at which the one or more documents were accessed by the user.

12. The device of claim 8, where the documents accessed, during the plurality of time periods, by the user include documents associated with one or more search queries provided by the user via the first client device; and
where the plurality of browsing statistics include statistics related to the one or more search queries.

13. The device of claim 8, where the plurality of browsing statistics include one or more of:
an amount of time the user viewed each document of the documents accessed, during the plurality of time periods, by the user,
a quantity of terms included in each of one or more search queries provided by the user, or
a quantity of the one or more search queries associated with each time period of the plurality of time periods.

14. The device of claim 8, where, when providing the information associated with the plurality of browsing statistics and the information associated with the plurality of time periods, the one or more processors are to:
provide, for display to the user, a graphical depiction of the plurality of browsing statistics and the information associated with the plurality of time periods.

15. A non-transitory computer-readable medium storing instructions, the instructions comprising:
one or more instructions that, when executed by one or more processors, cause the one or more processors to:
provide, to a user, information associated with a plurality of browsing statistics associated with a first client device and information associated with a plurality of time periods,
the plurality of browsing statistics being different from browsing statistics associated with a second, different client device, and
the plurality of browsing statistics being determined based on information associated with documents accessed, during the plurality of time periods, by the user;

receive information identifying a selection, by the user, of a particular browsing statistic, of the plurality of browsing statistics, and a particular time period, of the plurality of time periods;
modify, based on the particular browsing statistic and the particular time period, a ranking of search results to form modified search results,
the search results being associated with a search query received from the user, and
the ranking of the search results being based on the search query; and

provide the modified search results for display to the user.

16. The non-transitory computer-readable medium of claim 15, where the one or more instructions to provide the information associated with the plurality of browsing statistics and the information associated with the plurality of time periods include:
one or more instructions that, when executed by the one or more processors, cause the one or more processors to:
provide, at a time specified by the user, the information associated with the plurality of browsing statistics and the information associated with the plurality of time periods based on the user having performed a particular action.

17. The non-transitory computer-readable medium of claim 15, where the instructions further comprise:
one or more instructions that, when executed by the one or more processors, cause the one or more processors to:
determine, based on the plurality of browsing statistics, one or more of:
a frequency at which one or more documents, of the documents accessed by the user, were accessed by the user during the plurality of time periods, or
one or more trends associated with user accessing the documents during the plurality of time periods; and

where the one or more instructions to provide the information associated with the plurality of browsing statistics and the information associated with the plurality of time periods include:
one or more instructions that, when executed by the one or more processors, cause the one or more processors to:
provide, for display, one or more of:
 information identifying the frequency at which one or more documents, of the documents accessed by the user, were accessed by the user during the plurality of time periods, or
 information identifying the one or more trends.

18. The non-transitory computer-readable medium of claim 15, where the documents accessed, during the plurality of time periods, by the user include documents associated with one or more search queries associated with the user, and
where the plurality of browsing statistics include statistics related to the one or more search queries.

19. The non-transitory computer-readable medium of claim 15, where the plurality of browsing statistics include one or more of:
an amount of time the user viewed each document of the documents accessed, during the plurality of time periods, by the user,
a quantity of terms included in each of one or more search queries provided by the user, or
a quantity of the one or more search queries associated with each time period of the plurality of time periods.

20. The non-transitory computer-readable medium of claim 15, where the one or more instructions to provide the information associated with the plurality of browsing statistics and the information associated with the plurality of time periods include:
one or more instructions that, when executed by the one or more processors, cause the one or more processors to:
provide, for display to the user, a graphical depiction of the plurality of browsing statistics and the information associated with the plurality of time periods,
where the graphical depiction includes one or more of:
a pie chart, or
a graph.